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image:: http://img.shields.io/pypi/v/ChemDataExtractor.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/ChemDataExtractor\n\n.. image:: http://img.shields.io/pypi/l/ChemDataExtractor.svg?style=flat-square\n    :target: https://github.com/mcs07/ChemDataExtractor/blob/master/LICENSE\n\n.. image:: http://img.shields.io/travis/mcs07/ChemDataExtractor.svg?style=flat-square\n    :target: https://travis-ci.org/mcs07/ChemDataExtractor\n\nChemDataExtractor is a toolkit for extracting chemical information from the scientific literature.\n\n\nFeatures\n--------\n\n- HTML, XML and PDF document readers\n- Chemistry-aware natural language processing pipeline\n- Chemical named entity recognition\n- Rule-based parsing grammars for property and spectra extraction\n- Table parser for extracting tabulated data\n- Document processing to resolve data interdependencies\n\n\nInstallation\n------------\n\nTo install ChemDataExtractor, simply run::\n\n    pip install chemdataextractor\n\nOr if you are an Anaconda user, run::\n\n    conda install -c chemdataextractor chemdataextractor\n\nAlternatively, try one of the other `installation options`_.\n\n\nDocumentation\n-------------\n\nFull documentation is available at http://chemdataextractor.org/docs\n\n\nLicense\n-------\n\nChemDataExtractor is licensed under the `MIT license`_, a permissive, business-friendly license for open source\nsoftware.\n\n\n.. _`installation options`: http://chemdataextractor.org/docs/install\n.. _`MIT license`: https://github.com/mcs07/ChemDataExtractor/blob/master/LICENSE\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmcs07%2Fchemdataextractor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmcs07%2Fchemdataextractor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmcs07%2Fchemdataextractor/lists"}